Research Statement
Recent Publications
Kaichun Mo*, Paul Guerrero*, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas J. Guibas, StructureNet: Hierarchical Graph Networks for 3D Shape Generation, Siggraph Asia 2019
@article{mo2019structurenet,
title={StructureNet: Hierarchical Graph Networks for 3D Shape Generation},
author={Mo, Kaichun and Guerrero, Paul and Yi, Li and Su, Hao and Wonka, Peter and Mitra, Niloy and Guibas, Leonidas},
journal={Siggraph Asia 2019 (a special issue of TOG)},
year={2019}
}
L. Yi, W. Zhao, H. Wang, M. Sung, L. Guibas, GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019
@article{yzwsg-ggspn3ispc-19,
title={GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud},
author={Yi, Li and Zhao, Wang and Wang, He and Sung, Minhyuk and Guibas, Leonidas},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2019}
}
Kaichun Mo, Shilin Zhu, Angel Chang, Li Yi, Subarna Tripathi, Leonidas Guibas, and Hao Su, PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding, CVPR 2019
@article{mo2018partnet,
title={PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level {3D} Object Understanding},
author={Mo, Kaichun and Zhu, Shilin and Chang, Angel and Yi, Li and Tripathi, Subarna and Guibas, Leonidas and Su, Hao},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2019}
}
Huang, J., Zhang, H., Yi, L., Funkhouser, T., Nießner, M., & Guibas, L. (2018). TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. Computer Vision and Pattern Recognition (CVPR), 2019
@inproceedings{huang2018texturenet,
title={TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes},
author={Huang, Jingwei and Zhang, Haotian and Yi, Li and Funkhouser, Thomas and Nie{ss}ner, Matthias and Guibas, Leonidas},
booktitle={Computer Vision and Pattern Recognition (CVPR)},
year={2019}
}
Lingxiao Li*, Minhyuk Sung*, Anastasia Dubrovina, Li Yi, and Leonidas Guibas, Supervised Fitting of Geometric Primitives to 3D Point Clouds, CVPR 2019 (Oral) (* equal contribution)
@incollection{li2019spfn,
title = {Supervised Fitting of Geometric Primitives to 3D Point Clouds},
author = {Li, Lingxiao and Sung, Minhyuk and Dubrovina, Anastasia and Yi, Li and Guibas, Leonidas},
booktitle = {CVPR},
year = {2019}
}
L. Yi, H. Huang, D. Liu, K. Evangelos, H. Su, and L. Guibas, Deep part induction from articulated object pairs, SIGGRAPH Asia 2018 Technical Papers. ACM, 2018: 209.
@inproceedings{yhlksg-dpiaop-18,
title={Deep part induction from articulated object pairs},
author={Yi, Li and Huang, Haibin and Liu, Difan and Kalogerakis, Evangelos and Su, Hao and Guibas, Leonidas},
booktitle={SIGGRAPH Asia 2018 Technical Papers},
pages={209},
year={2018},
organization={ACM}
}
C. Lu, H. Su, Y. Lu, L. Yi, C. Tang, and L. Guibas, Beyond Holistic Object Recognition: Enriching Image Understanding with Part States, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 6955-6963.
@inproceedings{lslytg-bhoreiups-18,
title={Beyond holistic object recognition: Enriching image understanding with part states},
author={Lu, Cewu and Su, Hao and Li, Yonglu and Lu, Yongyi and Yi, Li and Tang, Chi-Keung and Guibas, Leonidas J},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={6955--6963},
year={2018}
}
Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. Neural Information Processing Systems (NIPS) 2017.
@article{qysg-pdhflpsms-17,
title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space},
author={Qi, Charles R and Yi, Li and Su, Hao and Guibas, Leonidas J},
journal={Neural Information Processing System (NIPS) 2017},
year={2017}
}
Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer: Learning Hierarchical Shape Segmentation and Labeling from Online Repositories. ACM Trans. Graph. 36(4): 70:1-70:12 (2017)
@article{yghksy-lhsslor-17,
title={Learning hierarchical shape segmentation and labeling from online repositories},
author={Yi, Li and Guibas, Leonidas and Hertzmann, Aaron and Kim, Vladimir G and Su, Hao and Yumer, Ersin},
journal={arXiv preprint arXiv:1705.01661},
year={2017}
}
Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas: SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. CVPR 2017: 6584-6592.
@inproceedings{ysgg-ssc3ss-17,
title={SyncSpecCNN: Synchronized spectral CNN for 3D shape segmentation},
author={Yi, Li and Su, Hao and Guo, Xingwen and Guibas, Leonidas},
booktitle={Computer Vision and Pattern Recognition (CVPR)},
year={2017}
}
Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas, A scalable active framework for region annotation in 3D shape collections. ACM Trans. Graph. 35(6): 210 (2016)
@article{yi2016scalable,
title={A scalable active framework for region annotation in 3d shape collections},
author={Yi, Li and Kim, Vladimir G and Ceylan, Duygu and Shen, I-Chao and Yan, Mengyan and Su, Hao and Lu, Cewu and Huang, Qixing and Sheffer, Alla and Guibas, Leonidas},
journal={ACM Transactions on Graphics (ToG)},
volume={35},
number={6},
pages={1--12},
year={2016},
publisher={ACM New York, NY, USA}
}
SU, H., WANG, F., YI, L., AND GUIBAS, L. 2015. 3D-Assisted Image Feature Synthesis for Novel Views of an Object. In ICCV IEEE.
@inproceedings{swyg-3afsnvo-15,
title={3D-Assisted Image Feature Synthesis for Novel Views of an Object},
author={Su, Hao and Wang, Fan and Yi, Li and Guibas, Leonidas},
booktitle={International Conference on Computer Vision (ICCV)},
year={2015}
}
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